Update app.py

app.py

@@ -91,7 +91,7 @@ def classify_toxicity(audio_file, text_input, classify_anxiety, emo_class, expli
         classification_df = pd.DataFrame.from_dict(classification_output)
         print("df ", classification_df.columns)
 
-        plot.update(x=classification_df["labels"], y=classification_df["scores"], xlabel="Labels", ylabel="Scores")
+        plot.update(x=classification_df["labels"], y=classification_df["scores"])
         
         return toxicity_score, classification_df, transcribed_text
         # return f"Toxicity Score ({available_models[selected_model]}): {toxicity_score:.4f}"